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  • Upcoming Classes

    Building Basic Displays with PI ProcessBook Online Course (English)
    Jan 22 - Feb 09, 2018 | Online


    In this online course, you will learn how to use PI ProcessBook to access your process data. Through online videos and hands-on exercises, we will guide you on how to create a variety of displays, such as trends and bar graphs, to monitor your process. This course leverages the power of the intuitive Asset Framework structures to enable you to display attributes of an asset, search in AF, and build element relative displays.



    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Building PI System Assets and Analytics with PI AF (English)
    Jan 22 - Jan 25, 2018 | Frankfurt am Main, Germany

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Creating Basic Reports with PI DataLink Online Course (English)
    Jan 22 - Feb 09, 2018 | Online
    In this online course, you will learn how to use this tool to access your process data, create meaningful reports, and use them to make key decisions about your plant performance. PI DataLink is our add-in that allows users to access and deliver data to and from Microsoft Excel and create easy-to-read reports.

    Through online videos and hands-on exercises, we will guide you on how to obtain current and archived values for a tag, as well as to retrieve compressed and sampled data. Additionally, this course leverages the intuitive Asset Framework structures to enable you to retrieve key attributes of an asset, such as current, archived, compressed, and sampled values.

    Audience

    This course is for beginning users of the PI System and is often an individual’s first look at OSIsoft's products. PI System managers often take this class as well. Sometimes members of a PI System project team take this class to get an “executive overview” of the capabilities of the PI System. System integrators who work with OSIsoft customers should also take this class.Students in the past have been:
    • Engineers, production managers, process operators, instrument technicians, project team members, information system analysts and computer support personnel

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    PI System Administration for IT Professionals (English)
    Jan 23 - Jan 26, 2018 | San Leandro, USA

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Visualizing PI System Data (English)
    Jan 23 - Jan 25, 2018 | Philadelphia, USA
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Building Asset Hierarchies with PI AF Online Course (English)
    Jan 29 - Feb 16, 2018 | Online


    In this online course, you will learn the skills needed to successfully model your processes and equipment using Asset Framework (AF). This course discusses the methodologies needed to build representations of assets (AF Elements) and their associated data (AF Attributes). You will see how elements and attributes help users successfully organize assets into hierarchies and unify data from multiple sources, such as real-time data from the PI Data Archive, metadata from relational sources and calculated data from AF formulas.

    Through online videos and hands-on practices, you will learn how to templatize elements and add Units of Measure (UOM) to standardize models across different assets or units of an organization. By the end of the course, you will be able to leverage templates to scale models out and compare like assets using OSIsoft client tools.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Customizing PI Vision with Extensibility Online Course (English)
    Jan 29 - Feb 16, 2018 | Online


    This online course introduces you to creating your own custom symbols and tool panes using the Extensibility Framework available in PI Vision 2017. Throughout the course, you will create symbols with one data point, multiple data points, symbols with customizable configurations and custom tools panes using JavaScript (with AngularJS), HTML, and CSS. There are 11 hands-on exercises tailored to apply the knowledge you've learned in the video lectures. Each exercise features an extra credit so that you can push yourself to learn more than what the course directly covers.

    By the end of the course, you will have the opportunity to create your own custom symbol or tool pane that is meaningful to you and your organization.

    Disclaimer


    PI Vision Extensibility is a CTP (Community Technical Preview). Although similar concepts of this extensibility model will be applied in PI Vision 2018, we do expect ‘breaking changes’ to occur in the next year. Developers should take this into consideration when planning to start building custom capabilities with the existing extensibility architecture. Also, PI Vision 2018 will be developed using Angular 4, while PI Vision 2017 was developed based on Angular 2.

    This online course is available to help you preview the possibilities and power of extensibility in PI Vision 2017. Due to the nature of the CTP status of this release, this course is offered free of charge to you.

    Items to consider:
    • Often a valuable extension can be achieved in a matter of days allowing almost immediate value. For this type of project, little hesitation should be considered to move forward regardless of future changes to the extensibility architecture.
    • Projects that will require a considerable amount of effort and potential rework based on the future release may want to consider the impact of compatibility.
    With breaking changes anticipated, OSIsoft does not plan to change the CTP status of PI Vision Extensibility until the release of PI Vision 2018 with Angular 4. For more information, please refer to this post by the PI Visualization team.

    When the extensibility feature in PI Vision is released for general availability in the future, we will come back with an updated official online course.

    Audience

    This course is best suited for developers who are interested in learning different options to customize the PI Vision 2017

    Prerequisites

    • This course requires basic knowledge of JavaScript, HTML, and CSS
    • Familiarity with AngularJS and Git/Github is an asset

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Programming in PI Web API Online Course (English)
    Jan 29 - Feb 16, 2018 | Online
    Interested in developing web applications in various programming languages? Do you want to retrieve and manipulate time series data from the PI Data Archive, and asset/event-specific data from the Asset Framework?

    In this course, you will learn the basics of PI Web API through hands-on exercises and final project. The course covers how to interact with PI Web API using HTTP requests and how to work with the PI Index Search Crawler. We will take a look at 2 example applications for PI Web API, one in JavaScript and the other in C#.

    For the final project, get prepared to create your own application with the PI Web API that will be useful in your day-to-day operations!

    Audience

    This course is for developers to learn the different options and methods for working with the PI Web API. You will learn how to perform functions like making basic requests, using headers, search, and application development.

    Prerequisites

    This course does not teach programming, but rather how to use the PI Web API within your business. Developers should have basic knowledge of HTTP requests, as well as general programming skills in C# and/or JavaScript.

    Software Requirements

    Note: Individuals enrolled in this course will be required to use their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise. The requirements for completing the exercises and the final project are as follows:
    • PI System (running and collecting data with write access)
    •      PI Data Archive
           PI AF Server
    • PI Web API (admin access) and PI Index Search feature
    • Chrome and Fiddler
    Visualizing PI System Data with PI Vision Online Course (English)
    Jan 29 - Feb 16, 2018 | Online


    In this self-paced online course, you will learn how to easily build dynamic, graphical, interactive web-based dashboards with PI Vision. This course will be dedicated to a series of exercises where the student is challenged to solve real-world problems using PI Vision. By the end of the course, you will have a working knowledge and new skills to use toward problem-solving with the PI System Data.

    Final Project - Build A Set of PI Vision Displays To Monitor My Process


    The course ends with a challenge to use all of the PI Vision features presented in class to build a complete data solution. The goal of this is two-fold: to reinforce in the student the new skills learned in the class and to allow more time for the student to ask questions and get clarification on concepts prior to returning to their job. If a student has access to their own PI System data, they will use this to build displays. If the student does not have access to their own data, they will use an AF Example Kit with demo data for an industry of their choosing.

    Audience

    This class is for beginning users of PI System data, and is often an individual’s first look at OSIsoft's products or PI Vision.

    Prerequisites

    No specific knowledge of the PI System software is required.

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 or later (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the 21 Days Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Building PI System Assets and Analytics with PI AF (English)
    Jan 30 - Feb 02, 2018 | San Leandro, USA

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    PI System Administration for IT Professionals (English)
    Jan 30 - Feb 02, 2018 | Montreal, Canada

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Criando Relatórios Basicos utilizando PI DataLink para Excel (Portuguese)
    Feb 05 - Feb 23, 2018 | Online
    Neste curso você aprenderá como utilizar esta ferramenta cliente para acessar seus dados de processo em tempo real, criar relatórios dinâmicos e utilizá-los no suporte a tomada de decisões na sua empresa. O PI Data Link é o suplemento do MS Excel que permite aos usuários trabalhar com esta informação. Através de atividades passo a passo, você será instruído a obter valores em tempo real e históricos para uma tag, além de trazer dados para um período. Este curso também mostrará como utilizar estruturas do PI AF para mostrar atributos e totalizadores de informação em seu s valores reais e históricos.

    É importante ressaltar que cada usuário deverá utilizar seu próprio software e estruturas de dados, fazendo esta atividade com dados da própria unidade. A intenção é fazer com que os relatórios criados possam ter um impacto direto no seu dia de operação.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to immediately leave the course with something valuable to their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Visualizing PI System Data (English)
    Feb 05 - Feb 07, 2018 | Frankfurt am Main, Germany
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Visualizing PI System Data with PI Vision Online Course (English)
    Feb 05 - Feb 23, 2018 | Online


    In this self-paced online course, you will learn how to easily build dynamic, graphical, interactive web-based dashboards with PI Vision. This course will be dedicated to a series of exercises where the student is challenged to solve real-world problems using PI Vision. By the end of the course, you will have a working knowledge and new skills to use toward problem-solving with the PI System Data.

    Final Project - Build A Set of PI Vision Displays To Monitor My Process


    The course ends with a challenge to use all of the PI Vision features presented in class to build a complete data solution. The goal of this is two-fold: to reinforce in the student the new skills learned in the class and to allow more time for the student to ask questions and get clarification on concepts prior to returning to their job. If a student has access to their own PI System data, they will use this to build displays. If the student does not have access to their own data, they will use an AF Example Kit with demo data for an industry of their choosing.

    Audience

    This class is for beginning users of PI System data, and is often an individual’s first look at OSIsoft's products or PI Vision.

    Prerequisites

    No specific knowledge of the PI System software is required.

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 or later (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the 21 Days Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Building PI System Assets and Analytics with PI AF (English)
    Feb 06 - Feb 09, 2018 | Montreal, Canada

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

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